Top 472 Predictive computational sciences Jobs

Computational Physicist - AI Trainer
DataAnnotation —Annapolis Junction, MD
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
6d
Computational Chemist - AI Trainer
DataAnnotation —Chattanooga, TN
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
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3d
Computational Physicist - AI Trainer
DataAnnotation —Pasadena, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
3d
Director, Mental Health
Foundation for the NIH —North Bethesda, MD
- $185,000 - $225,000 a year
- Full-time
- Hybrid work
- Medicine
- Psychiatry
- Office
6d
Quantitative Analytics Tech Lead – Model Validation
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
Computational Chemist - AI Trainer
DataAnnotation —Pasadena, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
3d
Modeling, Analysis & Simulation (MA&S) Engineer
Peraton —Herndon, VA
- $135,000 - $216,000 a year
- Azure
- Computer Science
- 11+ years
- Health savings account
- Paid holidays
Data Scientist Mid
General Dynamics Information Technology —Fort Bragg, NC
- $109,403 - $148,017 a year
- Computer Science
- 5 years
- Office
- Paid time off
- 401(k) matching
Senior Low Observables (LO) Mission Systems Integration Engineer
Boeing —Berkeley, MO
- $136,850 - $185,150 a year
- Computer Science
- 5 years
- Bachelor of Science
- Health savings account
- Disability insurance
Quantitative Analytics Tech Lead –Credit Risk Analytics
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
Quantitative Analytics Professional
Freddie Mac —McLean, VA
- $105,000 - $157,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
AIRx Director, Computational & AI Biologics Design Lead
Takeda Pharmaceutical —Boston, MA
- $177,000 - $278,080 a year
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Mentoring
- Paid holidays
- Disability insurance
Lead Machine Learning Engineer
Disney Entertainment Television —New York, NY
- $179,700 - $225,000 a year
- 7 years
- Computer Science
- Office
Quantitative Analytics Tech Lead
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
11d
Senior Model Risk Analyst
Simple Staffing —Indianapolis, IN
- $93,000 - $110,000 a year
- Full-time
- Hybrid work
- Microsoft Outlook
- Computer Science
- Office
- Paid holidays
- Health insurance
Quick Apply
1d
Data Scientist
Leidos —Bethesda, MD
- $69,550 - $125,725 a year
- Full-time
- Computer Science
- Bachelor of Science
- Mid-level
Associate Director of AI and Data
Axle —Rockville, MD
- $150,000 - $190,000 a year
- Azure
- Computer Science
- HIPAA
- Paid holidays
- Health insurance
Quick Apply
Data Science Expert | Scientific R&D | PhD-Level
Career Developers —New York, NY
- $200,000 - $250,000 a year
- Hybrid work
- Analysis skills
- Doctor of Philosophy
- Senior level
Quick Apply
3d
Quantitative Analytics Senior - House Price Index Modeling
Freddie Mac —McLean, VA
- $126,000 - $190,000 a year
- Full-time
- Doctoral degree
- Office
- 3 years
2d
Staff Data Scientist, Machine Learning in Epidemiology and Patient Data Products
Valo Health —San Francisco, CA
- $165,000 - $220,000 a year
- Remote
- 5 years
- Doctor of Philosophy
- US work authorization
- Retirement plan

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Computational Physicist - AI Trainer

DataAnnotation -
Annapolis Junction, MD

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
6 days ago

Benefits

Flexible schedule

Qualifications

Software coding
Design of experiments
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Computational Physicist - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

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predictive computational sciences jobs

Computational Physicist - AI Trainer

Computational Chemist - AI Trainer

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Computational Chemist - AI Trainer

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Data Science Expert | Scientific R&D | PhD-Level

Quantitative Analytics Senior - House Price Index Modeling

Staff Data Scientist, Machine Learning in Epidemiology and Patient Data Products

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